typedict.py

from typing import TypedDict

class DataPipelineConfig(TypedDict):
    name: str
    batch_size: int
    is_active: bool

def display_pipeline_config(config: DataPipelineConfig) -> str:
    status = 'active' if config['is_active'] else 'inactive'
    return (f"Pipeline {config['name']} with batch size {config['batch_size']} is currently {status}.")

pipeline_config: DataPipelineConfig = {
    "name": "User ETL",
    "batch_size": 1000,
    "is_active": True
}

print(display_pipeline_config(pipeline_config))
# Output: Pipeline User ETL with batch size 1000 is currently active.